Jianguo Wang
Computer Science · Purdue University West Lafayette
Publications
68
Citations
756
Est. group size
~3
Recurring co-author estimate
Active years
26
Publishing since 2000
This researcher works on database systems, with a focus on how large-scale data storage and retrieval systems are designed and optimized. Recent work centers on vector databases (systems for storing and searching high-dimensional data used in AI applications like retrieval-augmented generation), disaggregated storage architectures, and data structure compression techniques such as B-trees. Earlier publications in the record cover more varied topics including image processing and remote sensing, though the recent and concentrated body of work is in database systems research.
Publication output was low and sporadic from 2017-2022 but has grown sharply since 2023, peaking with 8 publications in 2024 and 7 in 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- TigerVector: Supporting Vector Search in Graph Databases for Advanced RAGs
2025
- TigerVector: Supporting Vector Search in Graph Databases for Advanced RAGs
ArXiv.org · 2025
- An Evaluation of B-tree Compression Techniques
The VLDB Journal · 2025
- Survey of vector database management systems
The VLDB Journal · 2024
- Vexless: A Serverless Vector Data Management System Using Cloud Functions
Proceedings of the ACM on Management of Data · 2024
- Understanding the Performance Implications of the Design Principles in Storage-Disaggregated Databases
Proceedings of the ACM on Management of Data · 2024
- CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure
Proceedings of the ACM on Management of Data · 2024
- Revisiting B-tree Compression: An Experimental Study
Proceedings of the ACM on Management of Data · 2024
- Vector Database Management Techniques and Systems
2024
- A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System
2024
- Disaggregated Database Systems
2023
- An improved smart key frame extraction algorithm for vehicle target recognition
Computers & Electrical Engineering · 2021
- Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images
IEEE Geoscience and Remote Sensing Letters · 2020
- Analysis of Factors Affecting Magnetic Memory Time of CaCO3 Solutions Based on Orthogonal Experiment
Sensors and Materials · 2020
- Balanced Feature Pyramid Network for Ship Detection in Synthetic Aperture Radar Images
2020
- Proceedings of the ACM on Management of Data×4
- The VLDB Journal×3
- IEEE Geoscience and Remote Sensing Letters×1
- Proceedings of the VLDB Endowment×1
- Land Use Policy×1
- Xiaodong Zhang
Computer Science · The Ohio State University
- Arnab Nandi
Computer Science · The Ohio State University
- Jianting Zhang
Computer Science · Purdue University West Lafayette
- Walid G. Aref
Computer Science · Purdue University West Lafayette
- Yeasir Rayhan
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile